980 engineering-computation-"https:"-"https:"-"https:"-"https:"-"Univ" Postdoctoral positions in United States
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the fields of cancer survivorship, genetics, stem cell pharmacogenomics, epidemiology, biostatistics, and computational biology. The successful applicant will gain extensive training and experience in genetic
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Center Department: CCC | Comprehensive Cancer Center Position Summary This program provides multidisciplinary training across the full spectrum of cancer prevention and control, including cancer risk
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outreach program. We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration. Amenities associated with a major university, such as sporting and
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Science, or a related field. No experience required. Preferred Qualifications Ph.D. degree in biomedical engineering, medical physics, or related fields. Proficiency in preclinical MRI, image data
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support to attend conferences, workshops, and more Educational release time and tuition assistance for completing a degree while a Texas A&M employee Living Well, a program at Texas A&M that has been
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holding a PhD degree in Biomedical Sciences or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also eligible
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 8 hours ago
USNH Employees should apply within Workday through the Jobs Hub app The Global Ecology group at the Earth Systems Research Center, University of New Hampshire (UNH), has an immediate opening for a postdoctoral research associate. The goal of this project is to advance understanding of how...
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Cancer Center Department: CCC | Comprehensive Cancer Center Position Description This NIH-funded program provides multidisciplinary training across the full spectrum of cancer prevention and control
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is generally preparatory for a full time academicor research career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the
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. Familiarity with computational modeling of structure-function relationship Experience in identifying metabolites in biological samples. Sufficient knowledge in statistical analysis tools (e.g., SAS, R, XLstat